The devnen wrapper is single-model and ignores the OpenAI model field, so
offering both Dia2 models to asset-engine as real per-request choices means
one fixed-model instance per model. Rework the dia stack to run two services
from a dia2-capable image:
* dia2-2b (:8200, best quality), dia2-1b (:8202, streaming) — both GPU 0
* each pins its model via a mounted /opt/docker/conf/dia2-*/config.yaml
Retire the legacy Dia 1.6B service.
New dia2-image/Dockerfile builds local/dia:v2 = upstream devnen wrapper +
the dia2 package (copied into site-packages; its pyproject build backend
yields an empty UNKNOWN wheel under the base's old setuptools) + the three
missing runtime deps (transformers/sphn/whisper-timestamped); torch 2.12 /
numpy 2.2 in the base already satisfy Dia2. Both instances verified
end-to-end (HTTP 200, Ogg/Opus 24 kHz).
dia: Nari Labs dialogue TTS (Dia 1.6B / Dia2-1B / Dia2-2B) via
devnen/Dia-TTS-Server — OpenAI-compat, fills the multi-speaker
dialogue-scene slot for skaldsong. Port 8200 on irv-ml1.
zonos: Zyphra Zonos-v0.1 (Apache-2.0, 44kHz, emotion sliders) via the
official Gradio interface. Audition surface only — no OpenAI-compat
endpoint yet (needs the FastAPI fork to become skaldsong-pluggable).
Port 8199 on irv-ml1.
Both follow the chatterbox/fish-s2 convention: local image built from a
pinned wrapper SHA via buildx git-context, .env-driven port/GPU, python
healthcheck, homepage labels.
vh